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Code Issues 32 Releases Wiki Activity

Removed GeoManager and GeoQuerySet per deprecation timeline.

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This commit is contained in:
Tim Graham
2016-11-07 13:00:40 +01:00
parent e90c745afd
commit a0d166306f
25 changed files with 32 additions and 2194 deletions
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215
tests/gis_tests/distapp/tests.py
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@@ -1,7 +1,5 @@
from __future__ import unicode_literals
from unittest import skipIf
from django.contrib.gis.db.models.functions import (
Area, Distance, Length, Perimeter, Transform,
)
@@ -9,8 +7,7 @@ from django.contrib.gis.geos import GEOSGeometry, LineString, Point
from django.contrib.gis.measure import D # alias for Distance
from django.db import connection
from django.db.models import F, Q
from django.test import TestCase, ignore_warnings, skipUnlessDBFeature
from django.utils.deprecation import RemovedInDjango20Warning
from django.test import TestCase, skipUnlessDBFeature
from ..utils import no_oracle, oracle, postgis, spatialite
from .models import (
@@ -101,136 +98,6 @@ class DistanceTest(TestCase):
else:
self.assertListEqual(au_cities, self.get_names(qs.filter(point__dwithin=(self.au_pnt, dist))))
@skipUnlessDBFeature("has_distance_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_distance_projected(self):
"""
Test the `distance` GeoQuerySet method on projected coordinate systems.
"""
# The point for La Grange, TX
lagrange = GEOSGeometry('POINT(-96.876369 29.905320)', 4326)
# Reference distances in feet and in meters. Got these values from
# using the provided raw SQL statements.
# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 32140))
# FROM distapp_southtexascity;
m_distances = [147075.069813, 139630.198056, 140888.552826,
138809.684197, 158309.246259, 212183.594374,
70870.188967, 165337.758878, 139196.085105]
# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 2278))
# FROM distapp_southtexascityft;
# Oracle 11 thinks this is not a projected coordinate system, so it's
# not tested.
ft_distances = [482528.79154625, 458103.408123001, 462231.860397575,
455411.438904354, 519386.252102563, 696139.009211594,
232513.278304279, 542445.630586414, 456679.155883207]
# Testing using different variations of parameters and using models
# with different projected coordinate systems.
dist1 = SouthTexasCity.objects.distance(lagrange, field_name='point').order_by('id')
dist2 = SouthTexasCity.objects.distance(lagrange).order_by('id') # Using GEOSGeometry parameter
if oracle:
dist_qs = [dist1, dist2]
else:
dist3 = SouthTexasCityFt.objects.distance(lagrange.ewkt).order_by('id') # Using EWKT string parameter.
dist4 = SouthTexasCityFt.objects.distance(lagrange).order_by('id')
dist_qs = [dist1, dist2, dist3, dist4]
# Original query done on PostGIS, have to adjust AlmostEqual tolerance
# for Oracle.
tol = 2 if oracle else 5
# Ensuring expected distances are returned for each distance queryset.
for qs in dist_qs:
for i, c in enumerate(qs):
self.assertAlmostEqual(m_distances[i], c.distance.m, tol)
self.assertAlmostEqual(ft_distances[i], c.distance.survey_ft, tol)
@skipIf(spatialite, "distance method doesn't support geodetic coordinates on SpatiaLite.")
@skipUnlessDBFeature("has_distance_method", "supports_distance_geodetic")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_distance_geodetic(self):
"""
Test the `distance` GeoQuerySet method on geodetic coordinate systems.
"""
tol = 2 if oracle else 4
# Testing geodetic distance calculation with a non-point geometry
# (a LineString of Wollongong and Shellharbour coords).
ls = LineString(((150.902, -34.4245), (150.87, -34.5789)))
# Reference query:
# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326))
# FROM distapp_australiacity ORDER BY name;
distances = [1120954.92533513, 140575.720018241, 640396.662906304,
60580.9693849269, 972807.955955075, 568451.8357838,
40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0]
qs = AustraliaCity.objects.distance(ls).order_by('name')
for city, distance in zip(qs, distances):
# Testing equivalence to within a meter.
self.assertAlmostEqual(distance, city.distance.m, 0)
# Got the reference distances using the raw SQL statements:
# SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326),
# 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11));
# SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326))
# FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere
spheroid_distances = [
60504.0628957201, 77023.9489850262, 49154.8867574404,
90847.4358768573, 217402.811919332, 709599.234564757,
640011.483550888, 7772.00667991925, 1047861.78619339,
1165126.55236034,
]
sphere_distances = [
60580.9693849267, 77144.0435286473, 49199.4415344719,
90804.7533823494, 217713.384600405, 709134.127242793,
639828.157159169, 7786.82949717788, 1049204.06569028,
1162623.7238134,
]
# Testing with spheroid distances first.
hillsdale = AustraliaCity.objects.get(name='Hillsdale')
qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point, spheroid=True).order_by('id')
for i, c in enumerate(qs):
self.assertAlmostEqual(spheroid_distances[i], c.distance.m, tol)
if postgis:
# PostGIS uses sphere-only distances by default, testing these as well.
qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point).order_by('id')
for i, c in enumerate(qs):
self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol)
@no_oracle # Oracle already handles geographic distance calculation.
@skipUnlessDBFeature("has_distance_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_distance_transform(self):
"""
Test the `distance` GeoQuerySet method used with `transform` on a geographic field.
"""
# We'll be using a Polygon (created by buffering the centroid
# of 77005 to 100m) -- which aren't allowed in geographic distance
# queries normally, however our field has been transformed to
# a non-geographic system.
z = SouthTexasZipcode.objects.get(name='77005')
# Reference query:
# SELECT ST_Distance(ST_Transform("distapp_censuszipcode"."poly", 32140),
# ST_GeomFromText('<buffer_wkt>', 32140))
# FROM "distapp_censuszipcode";
dists_m = [3553.30384972258, 1243.18391525602, 2186.15439472242]
# Having our buffer in the SRID of the transformation and of the field
# -- should get the same results. The first buffer has no need for
# transformation SQL because it is the same SRID as what was given
# to `transform()`. The second buffer will need to be transformed,
# however.
buf1 = z.poly.centroid.buffer(100)
buf2 = buf1.transform(4269, clone=True)
ref_zips = ['77002', '77025', '77401']
for buf in [buf1, buf2]:
qs = CensusZipcode.objects.exclude(name='77005').transform(32140).distance(buf).order_by('name')
self.assertListEqual(ref_zips, self.get_names(qs))
for i, z in enumerate(qs):
self.assertAlmostEqual(z.distance.m, dists_m[i], 5)
@skipUnlessDBFeature("supports_distances_lookups")
def test_distance_lookups(self):
"""
@@ -347,86 +214,6 @@ class DistanceTest(TestCase):
).order_by('name')
self.assertEqual(self.get_names(qs), ['Canberra', 'Hobart', 'Melbourne'])
@skipUnlessDBFeature("has_area_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_area(self):
"""
Test the `area` GeoQuerySet method.
"""
# Reference queries:
# SELECT ST_Area(poly) FROM distapp_southtexaszipcode;
area_sq_m = [5437908.90234375, 10183031.4389648, 11254471.0073242, 9881708.91772461]
# Tolerance has to be lower for Oracle
tol = 2
for i, z in enumerate(SouthTexasZipcode.objects.order_by('name').area()):
self.assertAlmostEqual(area_sq_m[i], z.area.sq_m, tol)
@skipIf(spatialite, "length method doesn't support geodetic coordinates on SpatiaLite.")
@skipUnlessDBFeature("has_length_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_length(self):
"""
Test the `length` GeoQuerySet method.
"""
# Reference query (should use `length_spheroid`).
# SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563,
# AUTHORITY["EPSG","7030"]]');
len_m1 = 473504.769553813
len_m2 = 4617.668
if connection.features.supports_distance_geodetic:
qs = Interstate.objects.length()
tol = 2 if oracle else 3
self.assertAlmostEqual(len_m1, qs[0].length.m, tol)
else:
# Does not support geodetic coordinate systems.
with self.assertRaises(ValueError):
Interstate.objects.length()
# Now doing length on a projected coordinate system.
i10 = SouthTexasInterstate.objects.length().get(name='I-10')
self.assertAlmostEqual(len_m2, i10.length.m, 2)
@skipUnlessDBFeature("has_perimeter_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_perimeter(self):
"""
Test the `perimeter` GeoQuerySet method.
"""
# Reference query:
# SELECT ST_Perimeter(distapp_southtexaszipcode.poly) FROM distapp_southtexaszipcode;
perim_m = [18404.3550889361, 15627.2108551001, 20632.5588368978, 17094.5996143697]
tol = 2 if oracle else 7
for i, z in enumerate(SouthTexasZipcode.objects.order_by('name').perimeter()):
self.assertAlmostEqual(perim_m[i], z.perimeter.m, tol)
# Running on points; should return 0.
for i, c in enumerate(SouthTexasCity.objects.perimeter(model_att='perim')):
self.assertEqual(0, c.perim.m)
@skipUnlessDBFeature("has_area_method", "has_distance_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_measurement_null_fields(self):
"""
Test the measurement GeoQuerySet methods on fields with NULL values.
"""
# Creating SouthTexasZipcode w/NULL value.
SouthTexasZipcode.objects.create(name='78212')
# Performing distance/area queries against the NULL PolygonField,
# and ensuring the result of the operations is None.
htown = SouthTexasCity.objects.get(name='Downtown Houston')
z = SouthTexasZipcode.objects.distance(htown.point).area().get(name='78212')
self.assertIsNone(z.distance)
self.assertIsNone(z.area)
@skipUnlessDBFeature("has_distance_method")
@ignore_warnings(category=RemovedInDjango20Warning)
def test_distance_order_by(self):
qs = SouthTexasCity.objects.distance(Point(3, 3)).order_by(
'distance'
).values_list('name', flat=True).filter(name__in=('San Antonio', 'Pearland'))
self.assertSequenceEqual(qs, ['San Antonio', 'Pearland'])
'''
=============================